Tom Hartley - Graduate Student Supervision

Tom Hartley Lab
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I am keen to supervise students in the following general areas:

PhD

If you are interested in doing a PhD in one of these areas (or overlapping topics e.g., "comparing neural representations of faces and scenes"; "common sequencing processes in verbal and spatial memory") please contact me by email with an outline of your interests. PhD projects under my supervision can involve experimental psychology, neuroimaging or computational modelling or any combination of two of these methods.

Bootham Bar at night A bridge near Derwent College MRI scanner at YNiC, University of York
Decorative gate by the Department of Psychology Entrance to the Department of Psychology MEG scanner at YNiC, University of York

York is a beautiful place to live and work. The Psychology Department is one of the UK's finest. In the latest national research evaluation exercise (REF 2014) our overall research performance was ranked 4th in the UK. Our research outputs (peer-reviewed papers) were ranked 2nd in the UK, with 95% being classified as world-leading or internationally excellent.

MSc

If you are interested in doing an MSc project in one of these areas, you will need to enrol on one of our one-year taught Masters courses (MSc Cognitive Neuroscience, MSc Reading Language and Cognition, MRes Psychology). These all include a substantial empirical project. MSc projects under my supervision can involve experimental psychology and/or neuroimaging. Please contact me by email with an outline of the proposed project once you have been accepted onto the course.

Undergraduate Projects

If you are enrolled on our BSc Psychology or MPsych programmes and are interested in doing you final year project under my supervision, contact me by email to arrange a meeting. I am also willing to supervise innovative projects in any area of experimental psychology. For appropriately prepared students there may be opportunities to undertake neuroimaging projects (MPsych Neuroscience pathway students), computational modelling (suitably experienced students only) or using VR equipment.